I build production AI systems and lead the teams that ship them: agents, RAG knowledge bases, natural-language access to company data, and the security and reliability work that gets them in front of real users. Before AI, I built data departments: as Head of Data across iGaming, B2B SaaS, and affiliate marketing, I set them up from scratch, ran teams of up to twenty, and designed the pipelines and warehouses underneath.

Head of AI · Analytics Platform

May 2026 — Present
Confidential Client · Cyprus (Remote) · Contract
  • Built a natural-language-to-SQL/Python agent over Postgres/ClickHouse with schema introspection and execution safety nets; scales with additional MCP connections
  • Implemented an auto-updating pgvector RAG knowledge base — hybrid retrieval, re-embedding, access control, per-answer confidence; added deep research and sandboxed code execution for charts and calculations
  • Built a React + TypeScript admin UI with observability, logging, docs, and runtime settings; shipped Slack bot and Jira integration
  • Productionised end-to-end: streaming chat, OIDC/Keycloak SSO + RBAC, Docker + GitLab CI; documented full API via Swagger
  • Led security & reliability hardening across ~50 tested fixes — SSRF, IDOR, OIDC account-takeover, concurrency bugs
Python FastAPI ClickHouse pgvector React TypeScript RAG Docker

Head of Data Department

Sep 2025 — Apr 2026 · 8 mo
Confidential B2B iGaming Tech Provider · Lisbon, Portugal
  • Built an AI usage framework for analysts, cutting task execution time across the team
  • Built and led a 10-person data team (2 engineers, 4 analysts, 2 devs, 1 PM, 1 web analyst)
  • Designed all-inclusive data strategy for the B2B SaaS firm; advanced analytics for customer engagement and KPIs
  • Developed ClickHouse data warehouse with real-time insights; implemented PostHog user behaviour tracking
  • Deployed Apache Superset for product metrics, platform analytics, and B2B CLV dashboards
  • Built data pipelines and APIs for frontend-backend data delivery interfaces
ClickHouse Superset PostHog Airflow Python dbt MySQL PostgreSQL

Head of Data Department

Jan 2025 — Sep 2025 · 9 mo
Confidential iGaming Affiliate Company · Netherlands
  • Developed an AI-driven framework for the data engineering team, roughly halving pipeline shipping time
  • Built data department from scratch; hired and directed a team of 5 (2 engineers, 3 analysts)
  • Architected scalable ELT pipeline (Python + dbt + Airflow → ClickHouse), integrating Affilka and Affise APIs
  • Developed buyer-side traffic payback model enabling traffic valuation and distribution decisions
  • Deployed Holistic for the company's first centralised dashboards; surfaced key structural financial issues
ClickHouse Python dbt Airflow Holistic MySQL PostgreSQL REST APIs

Product Chief Analytics Officer

Aug 2024 — Jan 2025 · 6 mo
01tech · Belgrade, Serbia
  • Introduced AI tooling into the data analytics workflow across the org
  • Coordinated 3 full-cycle analytics teams across Data, Engineering, BI, Web, and Business Analytics
  • Executed large-scale ETL refactoring; led strategic planning, resource plan, and department budget
  • Integrated user retention costs (bonuses, promo codes, call center, support) into traffic payback formulas
  • Drove a product-centric approach with the business; tightened quality control around business value
  • Created competency matrices and individual development plans for team leads

Team Lead of Data Analysis

Aug 2023 — Aug 2024 · 1 yr 1 mo
01tech · Belgrade, Serbia
  • Established and launched Marketing Analytics team of 6 Data Analysts
  • Implemented data analysis standards for the company's marketing activities
  • Built key BI tools the leadership relies on for operations: end-to-end real-time traffic, employee efficiency, traffic payback, and user cohort analysis
  • Introduced AOV-based ROAS and ROI analysis method for the marketing department
  • Mentored analysts from Junior → Middle+ and Middle → Senior levels

Lead Data Analyst

Apr 2023 — Aug 2023 · 5 mo
Ocean Digital · Almaty, Kazakhstan
  • Designed custom data extraction pipelines integrating third-party APIs with cleaning and transformation stages
  • Built interactive Looker dashboards for key stakeholders enabling quick access to critical metrics
  • Maintained databases with 2,000+ manual records per month ensuring data quality and consistency
Looker SQL Python REST APIs

Data Analyst

Oct 2022 — Mar 2023 · 6 mo
LLC "ПРО ДИЗАЙН" · St Petersburg, Russia
  • Self-initiated data analyst role within a 26-store finishing materials retailer; gained NDA access to Postgres/1C and CRM databases
  • Built analytical reports that informed commercial and operational decisions for senior management
PostgreSQL SQL CRM Analytics

Marketing Specialist (Self-employed)

Jan 2020 — Jan 2022 · 2 yr 1 mo
Entrepreneur · Russia
  • Developed and executed social media strategies for multiple clients; collected and analysed campaign performance data
  • Leveraged data insights to optimise campaigns — which led to a self-directed transition into Data Analytics

Data Analyst from Zero to Middle

Netology (Нетология)
Oct 2022 — Apr 2023

Biotechnical Systems and Technologies

Unfinished Bachelor's Degree · Tomsk Polytechnic University
Sep 2014 — Jun 2017